Latest AI and machine learning research in ethics for healthcare professionals.
INTRODUCTION: Incisional hernias can complicate up to 25% of laparotomies, and successful repair rem...
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an MRI technique for quantifying p...
The measurement of work time for individual tasks by using video has made a significant contribution...
BACKGROUND: The non-local module has been primarily used in literature to capturing long-range depen...
Quantification of uncertainty in deep-neural-networks (DNN) based image registration algorithms play...
The task to develop a mechanism for predicting the hemodynamic parameters values based on non-invasi...
The demand for cost-efficient manufacturing of complex metal components has driven research for meta...
Malaria diagnosis based on microscopy is impaired by the gradual disappearance of experienced micros...
Neurotechnologies raise ethical concerns overlapping with those of other technologies, like artifici...
Recent advancements in artificial intelligence (AI) have fueled widespread academic discourse on the...
This retrospective study aimed to develop and validate a deep learning model for the classification ...
Due to complicated dynamics, wind turbines' governing equations are subject to uncertainties and unk...
Green space exposure is considered an important aspect of a livable environment and human well-being...
Immunotherapy using immune checkpoint modulators has revolutionized the oncology field, emerging as ...
Physics-informed neural networks (PINNs) have enabled significant improvements in modelling physical...
Multivariate time series forecasting remains a challenging task because of its nonlinear, non-statio...
The purpose of this study was to investigate the effects of a combined robot-assisted gait training ...
Large and complex data sets are increasingly available for research in critical care. To analyze the...
PURPOSE: To improve the quantitative accuracy and diagnostic confidence of PET images reconstructed ...
BACKGROUND: Accurate prognostic prediction plays a crucial role in the clinical setting. However, th...
INTRODUCTION: Peripheral arterial disease (PAD) is an atherosclerotic disease leading to stenosis an...